extern crate rand;
extern crate num_complex;
use std::marker::PhantomData;
use rand::Rng;
use rand::distributions::*;
use num_complex::Complex;
#[derive(Clone, Copy)]
pub struct RealNormal<A> {
dist: Normal,
phantom: PhantomData<A>,
}
impl<A> RealNormal<A> {
pub fn new(center: f64, var: f64) -> Self {
RealNormal {
dist: Normal::new(center, var),
phantom: PhantomData,
}
}
}
macro_rules! impl_RealNormal {
($float:ty) => {
impl Sample<$float> for RealNormal<$float> {
fn sample<R>(&mut self, rng: &mut R) -> $float
where R: Rng
{
self.dist.sample(rng) as $float
}
}
impl IndependentSample<$float> for RealNormal<$float> {
fn ind_sample<R>(&self, rng: &mut R) -> $float
where R: Rng
{
self.dist.ind_sample(rng) as $float
}
}
}}
impl_RealNormal!(f64);
impl_RealNormal!(f32);
#[derive(Clone, Copy)]
pub struct ComplexNormal<A> {
re_dist: Normal,
im_dist: Normal,
phantom: PhantomData<A>,
}
impl<A> ComplexNormal<A> {
pub fn new(re0: f64, im0: f64, re_var: f64, im_var: f64) -> Self {
ComplexNormal {
re_dist: Normal::new(re0, re_var),
im_dist: Normal::new(im0, im_var),
phantom: PhantomData,
}
}
}
macro_rules! impl_ComplexNormal {
($float:ty) => {
impl Sample<Complex<$float>> for ComplexNormal<$float> {
fn sample<R>(&mut self, rng: &mut R) -> Complex<$float>
where R: Rng
{
let re = self.re_dist.sample(rng) as $float;
let im = self.im_dist.sample(rng) as $float;
Complex::new(re, im)
}
}
impl IndependentSample<Complex<$float>> for ComplexNormal<$float> {
fn ind_sample<R>(&self, rng: &mut R) -> Complex<$float>
where R: Rng
{
let re = self.re_dist.ind_sample(rng) as $float;
let im = self.im_dist.ind_sample(rng) as $float;
Complex::new(re, im)
}
}
}}
impl_ComplexNormal!(f32);
impl_ComplexNormal!(f64);